code: def divide(x1, x2, out=None, where=None, **kwargs):
      """
      Divide arguments element-wise.
  
      Parameters
      ----------
      x1 : array_like
          Dividend tensor.
      x2 : array_like
          Divisor tensor.
      out : Tensor, None, or tuple of Tensor and None, optional
          A location into which the result is stored. If provided, it must have
          a shape that the inputs broadcast to. If not provided or `None`,
          a freshly-allocated array is returned. A tuple (possible only as a
          keyword argument) must have length equal to the number of outputs.
      where : array_like, optional
          Values of True indicate to calculate the ufunc at that position, values
          of False indicate to leave the value in the output alone.
      **kwargs
  
      Returns
      -------
      out : Tensor
          The quotient `x1/x2`, element-wise. Returns a scalar if both `x1` and `x2` are scalars.
  
      Notes
      -----
      Equivalent to `x1` / `x2` in terms of array-broadcasting.
  
      Behavior on division by zero can be changed using `seterr`.
  
      In Python 2, when both `x1` and `x2` are of an integer type, `divide` will behave like `floor_divide`.
      In Python 3, it behaves like `true_divide`.
  
      Examples
      --------
      >>> import mars.tensor as mt
  
      >>> mt.divide(2.0, 4.0).execute()
      0.5
      >>> x1 = mt.arange(9.0).reshape((3, 3))
      >>> x2 = mt.arange(3.0)
      >>> mt.divide(x1, x2).execute()
      array([[ NaN,  1. ,  1. ],
             [ Inf,  4. ,  2.5],
             [ Inf,  7. ,  4. ]])
      Note the behavior with integer types (Python 2 only):
      >>> mt.divide(2, 4).execute()
      0
      >>> mt.divide(2, 4.).execute()
      0.5
      Division by zero always yields zero in integer arithmetic (again, Python 2 only),
      and does not raise an exception or a warning:
      >>> mt.divide(mt.array([0, 1], dtype=int), mt.array([0, 0], dtype=int)).execute()
      array([0, 0])
      Division by zero can, however, be caught using seterr:
      >>> old_err_state = mt.seterr(divide='raise')
      >>> mt.divide(1, 0).execute()
      Traceback (most recent call last):
      ...
      FloatingPointError: divide by zero encountered in divide
      >>> ignored_states = mt.seterr(**old_err_state)
      >>> mt.divide(1, 0).execute()
      0
      """
      op = TensorDivide(**kwargs)
      return op(x1, x2, out=out, where=where)
  
file_path: mars/mars/tensor/arithmetic/divide.py
imports: import numpy
  from ...None import opcodes
  from ..utils import infer_dtype
  from .core import TensorBinOp
  from .utils import arithmetic_operand
label_desc: Use image node_id 1 for calling a global function with example usage: divide(x1, x2, out, where) and returns: op